Alternatives and similar repositories for spacetimeformer

Users that are interested in spacetimeformer are comparing it to the libraries listed below

• AIStream-Peelout / flow-forecast
  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
  ☆2,272Updated last week
• ServiceNow / N-BEATS
  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started …
  ☆602Updated 3 years ago
• zalandoresearch / pytorch-ts
  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
  ☆1,359Updated last year
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆260Updated 3 years ago
• cure-lab / SCINet
  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…
  ☆669Updated 2 years ago
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆711Updated 2 months ago
• gzerveas / mvts_transformer
  Multivariate Time Series Transformer, public version
  ☆866Updated 4 months ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆281Updated 5 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆901Updated 2 years ago
• natashaklingenbrunn / Transformer-Time-Series-Forecasting
  ☆402Updated 4 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆240Updated 5 years ago
• salesforce / DeepTime
  PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)
  ☆366Updated 9 months ago
• maxjcohen / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆907Updated 2 years ago
• thuml / Nonstationary_Transformers
  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…
  ☆557Updated last year
• DaoSword / Time-Series-Forecasting-and-Deep-Learning
  Resources about time series forecasting and deep learning.
  ☆764Updated this week
• cure-lab / Awesome-time-series
  A comprehensive survey on the time series domains
  ☆545Updated last year
• mlpotter / Transformer_Time_Series
  Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
  ☆595Updated 2 years ago
• oliverguhr / transformer-time-series-prediction
  proof of concept for a transformer-based time series prediction model
  ☆1,449Updated 2 years ago
• laiguokun / multivariate-time-series-data
  ☆881Updated 8 years ago
• jsyoon0823 / TimeGAN
  Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
  ☆1,035Updated this week
• cchallu / n-hits
  ☆192Updated 2 years ago
• cchallu / nbeatsx
  ☆210Updated 3 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆394Updated 5 years ago
• greatwhiz / tft_tf2
  Temporal Fusion Transformers for Tensorflow 2.x
  ☆185Updated 2 years ago
• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆882Updated 3 weeks ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆737Updated 7 years ago
• MAZiqing / FEDformer
  ☆784Updated 2 years ago
• salesforce / ETSformer
  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
  ☆305Updated last year
• zhihanyue / ts2vec
  A universal time series representation learning framework
  ☆810Updated last year
• WenjieDu / SAITS
  The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…
  ☆488Updated 4 months ago